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» Sparse data aggregation in sensor networks
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DIS
2009
Springer
15 years 4 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
ICDE
2005
IEEE
108views Database» more  ICDE 2005»
15 years 11 months ago
Range Efficient Computation of F0 over Massive Data Streams
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
Pavan Aduri, Srikanta Tirthapura
GI
2009
Springer
15 years 1 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
ADHOCNOW
2007
Springer
15 years 3 months ago
Information Brokerage Via Location-Free Double Rulings
The in-network aggregation and processing of information is what sets a sensor network apart from a pure data acquisition device. One way to model the exchange of information betwe...
Stefan Funke, Imran Rauf
ICCCN
2008
IEEE
15 years 4 months ago
TRACK: A Novel Connected Dominating Set based Sink Mobility Model for WSNs
—The core functionality of a wireless sensor network (WSN) is to detect deviations in expected normal behavior and report it to the sink. In this paper, we propose TRACK — a no...
Avinash Srinivasan, Jie Wu